AI Engineering
| Language of instruction | angličtina, čeština |
|---|---|
| Code | 450-2110 |
| Abbreviation | AIINZ |
| Course title | AI Engineering |
| Coordinating department | Department of Cybernetics and Biomedical Engineering |
| Course coordinator | prof. Ing. Radek Martinek, Ph.D. |
Summary
The objective of the course is to equip students with technical competencies for effective use of artificial intelligence in modern industrial engineering. Students will gain practical skills in AI-assisted development (prompt engineering, context engineering, vibe-coding), programming for industrial automation (Python, Bash), and working with modern development tools (Linux, git, Docker). A key competency is the ability to bridge the gap between industrial system design and implementation – from rapid prototyping (vibe-coding) through industrial data analysis to application deployment on cloud and edge devices using DevOps principles and containerization. Students will also gain practical experience with PLC programming, industrial communication protocols (Modbus, OPC UA, MQTT), and robotics fundamentals with AI integration.
Literature
[1] MAŘÍK, Vladimír a KEIL, Robert. Průmysl 4.0: základ ekonomické transformace ČR. V Praze: Management Press, 2024. ISBN 978-80-7261-604-6.